Exploring Tangible Explainable AI (TangXAI): A User Study of Two XAI Approaches
Author:
Affiliation:
1. University of Lapland, Finland
2. Tampere University, Finland
Funder
European Regional Development Fund
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638380.3638426
Reference18 articles.
1. A survey of visual analytics for Explainable Artificial Intelligence methods
2. Guidelines for Human-AI Interaction
3. Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization
4. Vaishak Belle and Ioannis Papantonis. 2021. Principles and practice of explainable machine learning. Frontiers in big Data (2021), 39.
5. Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
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